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MortRadarTERMINAL
State markets/Wisconsin/Milwaukee County

COUNTY MORTGAGE MARKET · FIPS 55079

Milwaukee County, Wisconsin

Who lends in Milwaukee County, how much, and to whom — built from HMDA public mortgage disclosure data, U.S. Census ACS housing estimates and FEMA's National Risk Index.

Origination volume · 2025

$4.85B

Origination volumeSum of loan amount over HMDA records with action taken = 1.

Originations · 2025

19,383

OriginationsCount of HMDA records with action taken = 1 (loan originated) in the activity year.

Denial rate · 2025

19.4%

Denial rateApplications denied (action taken = 3) divided by applications acted upon (actions 1-5).

Lenders active · 2025

474

Lenders activeDistinct LEIs with at least one application acted upon (HMDA action taken 1-5, 7 or 8) in the county and year.

Market structure

How spread out lending is across the 474 lenders that originated in Milwaukee County in 2025. HHI is the Herfindahl-Hirschman index over lender shares.

Concentration (HHI)

216

unconcentrated

Top-5 lender share

23.5%

of originations

Purchase

59.0%

8,893 loans

Refinance

41.0%

6,182 loans

Origination trend

Annual mortgage origination volume and loan count in Milwaukee County, 2023–2025. Pick a window, export the graph or its data, or click a year to open every record behind it.

Lenders in Milwaukee County

Sort, filter, add columns, export, or open a row for the lender's card. Each row links to the lender's company page and to its Milwaukee County loan records. The panel states which source answered and exactly which lenders that source covers.

ORIGINATION FLOOR
Hide the long tail of lenders with only a handful of loans here.
FULL RECORD LIST FOR MILWAUKEE COUNTY →

TOP TEN LENDERS IN MILWAUKEE COUNTY · 10

The ten largest lenders by origination volume — the precomputed county leaderboard, not the whole market.

1–10 OF 10 LENDERS

Loading every lender that acted on an application in this county. The rows below are the precomputed county leaderboard — the ten largest by volume, not the whole market.

2,165$355.9M$355.9M originated in Milwaukee County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
1,574$269.1M$269.1M originated in Milwaukee County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
8$195.5M$195.5M originated in Milwaukee County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
1,119$167.4M$167.4M originated in Milwaukee County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
533$149.8M$149.8M originated in Milwaukee County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
773$149.2M$149.2M originated in Milwaukee County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
554$135.9M$135.9M originated in Milwaukee County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
564$135.7M$135.7M originated in Milwaukee County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
1,094$134.7M$134.7M originated in Milwaukee County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
388$117.8M$117.8M originated in Milwaukee County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—

Source: the precomputed county lender leaderboard (lender_county_year) — its ten largest lenders by origination volume, not the county. As of HMDA activity year 2025. Denial rate = denials / decisioned applications (originated + approved-but-not-accepted + denied).

ZIP areas in Milwaukee County

All 37 ZIP Code Tabulation Areas that touch Milwaukee County, built by grouping the county's census tracts through the Census 2020 crosswalk. A ZCTA approximates a USPS ZIP code; HMDA itself reports no postal geography, so each row opens the tracts behind it, where the records are exact.

TRACT FLOOR
Hide the ZIP areas that only clip a corner of this county.
37 OF 37 ZIP AREASEVERY ZIP AREA TOUCHING THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
1818 of the 26 Milwaukee County tracts this ZIP area touches sit mostly inside it.57,82484.3%7,835——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1212 of the 16 Milwaukee County tracts this ZIP area touches sit mostly inside it.44,54746.0%11,020——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1313 of the 22 Milwaukee County tracts this ZIP area touches sit mostly inside it.41,18879.1%7,764——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1515 of the 19 Milwaukee County tracts this ZIP area touches sit mostly inside it.38,98529.3%10,709——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1313 of the 17 Milwaukee County tracts this ZIP area touches sit mostly inside it.38,08091.9%6,314——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
66 of the 7 Milwaukee County tracts this ZIP area touches sit mostly inside it.36,81622.6%10,761——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 9 Milwaukee County tracts this ZIP area touches sit mostly inside it.36,49723.8%9,555——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 9 Milwaukee County tracts this ZIP area touches sit mostly inside it.35,38972.6%7,183——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
99 of the 14 Milwaukee County tracts this ZIP area touches sit mostly inside it.35,04338.5%9,596——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1212 of the 16 Milwaukee County tracts this ZIP area touches sit mostly inside it.34,78237.4%7,856——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1111 of the 15 Milwaukee County tracts this ZIP area touches sit mostly inside it.34,46188.4%3,058——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1010 of the 14 Milwaukee County tracts this ZIP area touches sit mostly inside it.33,89077.1%5,669——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1010 of the 14 Milwaukee County tracts this ZIP area touches sit mostly inside it.33,80321.3%5,094——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 11 Milwaukee County tracts this ZIP area touches sit mostly inside it.31,97419.0%9,314——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1111 of the 23 Milwaukee County tracts this ZIP area touches sit mostly inside it.30,44792.0%4,209——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1111 of the 12 Milwaukee County tracts this ZIP area touches sit mostly inside it.29,57523.2%3,620——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1515 of the 26 Milwaukee County tracts this ZIP area touches sit mostly inside it.28,82472.3%4,126——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1414 of the 20 Milwaukee County tracts this ZIP area touches sit mostly inside it.26,98662.0%4,030——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
77 of the 15 Milwaukee County tracts this ZIP area touches sit mostly inside it.25,73916.4%6,838——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
77 of the 12 Milwaukee County tracts this ZIP area touches sit mostly inside it.24,18527.1%5,264——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 14 Milwaukee County tracts this ZIP area touches sit mostly inside it.23,12746.9%6,219——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
66 of the 11 Milwaukee County tracts this ZIP area touches sit mostly inside it.21,54621.8%5,339——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
77 of the 7 Milwaukee County tracts this ZIP area touches sit mostly inside it.20,79522.8%4,983——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 20 Milwaukee County tracts this ZIP area touches sit mostly inside it.19,60677.9%2,877——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1111 of the 18 Milwaukee County tracts this ZIP area touches sit mostly inside it.19,58997.5%2,043——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
55 of the 8 Milwaukee County tracts this ZIP area touches sit mostly inside it.19,06777.0%3,621——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
55 of the 13 Milwaukee County tracts this ZIP area touches sit mostly inside it.18,73035.2%4,942——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
55 of the 5 Milwaukee County tracts this ZIP area touches sit mostly inside it.18,20426.6%4,951——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
77 of the 11 Milwaukee County tracts this ZIP area touches sit mostly inside it.15,47153.5%211——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 9 Milwaukee County tracts this ZIP area touches sit mostly inside it.15,32121.9%3,840——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
33 of the 5 Milwaukee County tracts this ZIP area touches sit mostly inside it.14,85417.6%4,023——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
99 of the 10 Milwaukee County tracts this ZIP area touches sit mostly inside it.13,51192.7%1,141——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
22 of the 3 Milwaukee County tracts this ZIP area touches sit mostly inside it.9,16123.0%2,601——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
22 of the 3 Milwaukee County tracts this ZIP area touches sit mostly inside it.7,72015.5%1,678——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
11 of the 4 Milwaukee County tracts this ZIP area touches sit mostly inside it.3,74944.4%146——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
0This ZIP area clips 1 tract of Milwaukee County but is the dominant ZIP for none of them, so it owns no figures here.—————TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
0This ZIP area clips 1 tract of Milwaukee County but is the dominant ZIP for none of them, so it owns no figures here.—————TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.

301 of Milwaukee County’s 302 census tracts are grouped into the ZIP areas above; the other 1 lie in no ZCTA at all — water, parkland or unpopulated area the Census leaves outside every ZIP polygon — and are listed in the census-tract table below. The two add up to the county exactly, because each tract is counted once. A ZCTA — ZIP Code Tabulation Area — is the U.S. Census Bureau's area approximation of a USPS ZIP code, not the ZIP code itself. HMDA reports no postal geography at all, so these rows are census tracts grouped by the Census 2020 tract-to-ZCTA relationship file: each tract is counted once, in the single ZCTA covering the most of its land. Housing figures are HMDA tract attributes for activity year 2025, summed over the tracts each ZIP area owns — a ZIP area that owns no tract shows an em-dash, never a zero.

Census tracts in Milwaukee County

All 302 tracts, with the FFIEC income character and HMDA housing attributes of each. Open a tract for its own lender ranking, or open its records directly.

302 OF 302 TRACTSEVERY TRACT IN THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
Moderate75.0%4,53580.1%OPEN →
Moderate62.0%3,71181.7%OPEN →
Low36.5%5,27289.5%OPEN →
Middle98.3%6,10972.4%OPEN →
Middle97.1%1,37730.4%OPEN →
Moderate57.9%2,87490.1%OPEN →
Middle81.0%1,82067.5%OPEN →
Upper150.3%3,43573.5%OPEN →
Low42.3%2,55574.2%OPEN →
Moderate61.1%3,34371.0%OPEN →
Low44.4%4,29688.9%OPEN →
Moderate60.9%6,15882.9%OPEN →
Moderate58.4%3,57280.1%OPEN →
Moderate63.1%4,90682.7%OPEN →
Low43.1%3,53486.3%OPEN →
Low43.6%3,33687.8%OPEN →
Moderate65.5%2,64893.0%OPEN →
Low31.4%2,88895.8%OPEN →
Moderate56.2%3,68492.3%OPEN →
Moderate57.0%2,28090.6%OPEN →
Moderate52.1%3,17690.1%OPEN →
Moderate54.0%2,78690.2%OPEN →
Moderate57.5%4,39986.5%OPEN →
Low32.3%2,25689.0%OPEN →
Low46.9%3,26090.0%OPEN →
Low47.1%2,31993.7%OPEN →
Low40.5%2,22894.7%OPEN →
Moderate63.4%1,80272.0%OPEN →
Low43.3%3,91996.9%OPEN →
Moderate53.3%2,15097.0%OPEN →
Low41.2%2,04194.9%OPEN →
Low49.6%2,65996.7%OPEN →
Low31.2%1,98494.2%OPEN →
Low36.3%2,12194.3%OPEN →
Low29.3%2,14692.5%OPEN →
Moderate52.9%3,71289.2%OPEN →
Moderate51.6%3,41592.6%OPEN →
Moderate72.8%2,66290.2%OPEN →
Moderate60.6%5,11786.5%OPEN →
Low49.7%5,74575.4%OPEN →
Moderate59.3%3,21390.9%OPEN →
Moderate71.5%1,69793.2%OPEN →
Middle80.1%2,30588.5%OPEN →
Moderate57.9%2,06094.3%OPEN →
Low37.6%2,58797.1%OPEN →
Low36.4%2,47597.0%OPEN →
Low40.4%2,49397.0%OPEN →
Low48.2%2,68998.2%OPEN →
Moderate52.0%4,93197.1%OPEN →
Low35.2%2,68282.3%OPEN →
Low39.0%2,17998.3%OPEN →
Low36.1%2,68398.3%OPEN →
Upper133.1%3,59998.8%OPEN →
Low44.3%3,52597.2%OPEN →
Moderate53.1%4,25685.9%OPEN →
Moderate65.4%4,59179.3%OPEN →
Moderate65.9%3,36989.8%OPEN →
Middle85.6%1,66062.4%OPEN →
Moderate74.8%2,02252.7%OPEN →
Middle84.7%3,66043.0%OPEN →
Middle103.2%3,33334.0%OPEN →
Upper123.7%2,06521.9%OPEN →
Middle100.0%2,39331.7%OPEN →
Middle86.1%3,35845.1%OPEN →
Moderate51.6%3,40878.5%OPEN →
Low40.0%2,42893.8%OPEN →
Moderate51.6%2,21691.3%OPEN →
Low39.8%2,33998.0%OPEN →
Low40.4%1,91098.2%OPEN →
Low23.3%1,96298.5%OPEN →
Low32.9%2,06898.3%OPEN →
Low31.1%2,29298.1%OPEN →
Low40.5%1,09495.4%OPEN →
Low28.9%2,16496.2%OPEN →
Low31.5%2,14796.2%OPEN →
Low28.4%2,50791.7%OPEN →
Moderate70.7%1,83833.5%OPEN →
Middle86.9%2,72738.4%OPEN →
Middle83.4%2,94921.2%OPEN →
Upper239.7%3,51217.9%OPEN →
Upper156.0%2,66917.2%OPEN →
Upper143.2%3,30420.5%OPEN →
Middle108.3%4,03528.4%OPEN →
Middle93.5%3,47521.2%OPEN →
Moderate64.7%2,21223.5%OPEN →
Moderate78.1%1,79234.0%OPEN →
Low42.8%1,23884.3%OPEN →
Low38.2%95195.6%OPEN →
Low32.8%1,15994.6%OPEN →
Moderate58.0%1,13199.0%OPEN →
Low26.4%1,17499.1%OPEN →
Low31.4%1,82695.6%OPEN →
Low31.3%1,27197.3%OPEN →
Low35.6%2,39698.5%OPEN →
Low23.2%2,21892.6%OPEN →
Moderate61.1%1,63875.5%OPEN →
Middle100.4%2,36850.6%OPEN →
Middle99.7%2,42126.5%OPEN →
Middle101.5%1,99532.0%OPEN →
Low40.8%2,18795.8%OPEN →
—0.0%1,78597.8%OPEN →
Low40.6%1,57598.7%OPEN →
Low35.7%1,16296.9%OPEN →
Low40.4%1,11467.7%OPEN →
Middle98.7%2,34130.8%OPEN →
Moderate78.8%2,66023.2%OPEN →
Upper124.9%3,41828.8%OPEN →
Middle92.5%1,64121.8%OPEN →
Upper169.2%2,71126.3%OPEN →
Upper177.2%2,94124.7%OPEN →
Upper121.7%1,50032.7%OPEN →
Middle85.8%2,14991.8%OPEN →
Low11.7%1,04784.6%OPEN →
Moderate66.4%2,47850.9%OPEN →
Middle108.5%1,90423.3%OPEN →
Moderate63.3%2,21328.5%OPEN →
Middle97.3%1,30723.1%OPEN →
Middle104.1%3,05229.3%OPEN →
Moderate70.0%3,00242.8%OPEN →
Moderate72.6%1,80449.2%OPEN →
Low37.7%1,00266.5%OPEN →
—0.0%2,31389.4%OPEN →
Low18.0%1,90183.3%OPEN →
Low24.2%2,03382.4%OPEN →
Low23.2%1,45990.8%OPEN →
Low23.7%2,10376.7%OPEN →
Upper148.8%2,54921.4%OPEN →
Upper128.9%3,28226.9%OPEN →
—0.0%3,25740.5%OPEN →
—0.0%3,69440.1%OPEN →
—0.0%2,48460.4%OPEN →
—0.0%1,41866.9%OPEN →
Low36.1%2,94390.3%OPEN →
Low32.2%2,63189.8%OPEN →
Low43.6%3,59087.0%OPEN →
Low48.3%3,08485.6%OPEN →
Moderate51.9%3,16986.8%OPEN →
Moderate65.4%3,29682.7%OPEN →
Low42.0%4,77990.9%OPEN →
Low40.9%4,22092.9%OPEN →
Low29.9%2,36288.8%OPEN →
Low29.8%1,75782.9%OPEN →
Low35.6%3,11490.2%OPEN →
Low39.4%3,02593.0%OPEN →
Low40.8%3,82388.9%OPEN →
Low44.4%5,69786.9%OPEN →
Moderate51.9%2,78088.1%OPEN →
Moderate60.8%2,58986.5%OPEN →
Moderate50.1%3,70686.3%OPEN →
Low31.8%2,87886.9%OPEN →
Low36.9%4,03489.9%OPEN →
Low37.3%2,79887.4%OPEN →
Middle112.3%2,87930.0%OPEN →
Middle102.9%2,72626.4%OPEN →
Middle110.9%1,58915.2%OPEN →
Upper138.9%1,56314.7%OPEN →
Middle90.4%2,26020.4%OPEN →
Middle98.5%1,30024.5%OPEN →
Middle92.3%1,66133.8%OPEN →
Low49.1%2,67286.5%OPEN →
Low48.6%3,59788.0%OPEN →
Moderate53.1%2,02389.9%OPEN →
Moderate77.5%1,69677.2%OPEN →
Middle86.1%4,75852.0%OPEN →
Middle88.8%3,68555.1%OPEN →
Middle87.7%3,45541.5%OPEN →
Middle82.2%2,80635.3%OPEN →
Moderate70.5%3,67931.3%OPEN →
Middle98.5%3,24329.7%OPEN →
Middle99.2%3,60234.6%OPEN →
Middle91.7%5,64437.8%OPEN →
Middle88.8%5,15841.6%OPEN →
Moderate71.3%3,80240.9%OPEN →
Moderate78.0%3,65870.7%OPEN →
Moderate59.1%3,80776.0%OPEN →
Moderate69.5%3,48366.2%OPEN →
Moderate75.0%4,15662.7%OPEN →
Moderate54.5%3,26683.2%OPEN →
Low48.0%3,07478.8%OPEN →
Moderate79.7%3,32526.6%OPEN →
Middle91.2%4,14522.5%OPEN →
Middle119.1%2,92018.1%OPEN →
Middle93.5%2,55927.6%OPEN →
Middle91.9%2,12230.7%OPEN →
Middle88.5%1,38527.4%OPEN →
Moderate70.2%2,09336.6%OPEN →
Moderate74.0%1,67050.9%OPEN →
Low30.5%3,43266.3%OPEN →
Middle110.3%2,96943.4%OPEN →
Moderate58.0%4,68648.7%OPEN →
Middle94.7%6,24137.5%OPEN →
Moderate71.5%2,18739.4%OPEN →
Upper155.8%4,37818.5%OPEN →
Upper230.8%2,30613.4%OPEN →
Upper176.8%4,62817.6%OPEN →
Upper191.9%1,60222.7%OPEN →
Middle106.3%6,06153.8%OPEN →
Upper122.2%3,50958.2%OPEN →
Middle109.2%2,93757.7%OPEN →
Upper156.7%4,10631.3%OPEN →
Upper132.8%3,26226.6%OPEN →
Middle110.3%5,98934.3%OPEN →
Upper168.0%4,66612.9%OPEN →
Upper222.0%5,38912.1%OPEN →
Upper155.8%4,89925.1%OPEN →
Middle100.6%2,78123.2%OPEN →
Upper124.4%3,74522.6%OPEN →
Upper195.7%3,90015.5%OPEN →
Middle118.9%3,43324.7%OPEN →
Middle98.1%4,11827.5%OPEN →
Middle119.8%2,24921.8%OPEN →
Middle112.7%3,61334.2%OPEN →
Middle107.4%4,64720.0%OPEN →
Upper218.5%3,2349.8%OPEN →
Upper165.2%2,35111.7%OPEN →
Upper121.4%3,67418.1%OPEN →
Upper149.4%4,40217.1%OPEN →
Upper158.7%4,2529.4%OPEN →
Middle118.3%5,37118.6%OPEN →
Upper186.5%3,70311.4%OPEN →
Upper124.7%2,12415.8%OPEN →
Moderate58.2%3,85249.7%OPEN →
Moderate62.0%3,82147.1%OPEN →
Moderate55.3%2,88434.3%OPEN →
Moderate73.9%2,71829.0%OPEN →
Middle93.6%3,47631.4%OPEN →
Middle84.1%2,03323.7%OPEN →
Middle91.4%2,85722.4%OPEN →
Middle95.2%2,91415.6%OPEN →
Moderate78.4%3,74434.4%OPEN →
Middle82.8%5,16128.3%OPEN →
Moderate75.3%1,77925.1%OPEN →
Middle85.4%3,04017.0%OPEN →
Middle87.7%3,09623.1%OPEN →
Middle82.5%3,68626.6%OPEN →
Middle89.6%4,51136.1%OPEN →
Moderate79.1%4,60338.0%OPEN →
Middle87.5%3,46833.3%OPEN →
Middle103.6%2,68225.5%OPEN →
Moderate77.4%4,11457.4%OPEN →
Upper131.5%4,48220.8%OPEN →
Middle114.5%3,93017.3%OPEN →
Moderate76.8%3,66621.4%OPEN →
Middle82.2%3,23430.5%OPEN →
Moderate76.4%3,91630.8%OPEN →
Middle94.1%2,13433.4%OPEN →
Middle111.6%6,76036.4%OPEN →
Middle99.0%4,07631.3%OPEN →
Middle91.7%5,35028.0%OPEN →
Middle108.8%4,86517.7%OPEN →
Upper125.3%2,85511.7%OPEN →
Upper152.4%3,19713.2%OPEN →
Middle99.8%5,69417.7%OPEN →
Middle116.2%5,96319.7%OPEN →
Middle114.5%9,51925.2%OPEN →
Upper124.4%6,03914.7%OPEN →
Upper140.5%5,01014.2%OPEN →
Upper132.8%3,99120.9%OPEN →
Middle99.0%4,34418.9%OPEN →
Middle83.7%2,59532.8%OPEN →
Middle116.1%7,59623.0%OPEN →
Middle91.0%6,65425.2%OPEN →
Middle113.1%3,36828.8%OPEN →
Middle101.9%1,94243.0%OPEN →
Upper134.7%5,52316.6%OPEN →
Upper137.0%4,47519.6%OPEN →
Middle102.7%2,59517.4%OPEN →
Moderate65.9%3,75022.6%OPEN →
Moderate71.9%2,71321.4%OPEN →
Middle100.2%3,20016.8%OPEN →
Moderate54.7%2,42023.1%OPEN →
Moderate71.0%3,51330.0%OPEN →
Middle88.6%2,60426.9%OPEN →
Middle82.3%2,97020.5%OPEN →
Middle91.3%4,50330.5%OPEN →
Moderate73.1%3,53436.2%OPEN →
Middle85.5%2,70420.9%OPEN →
Middle84.1%4,49322.5%OPEN →
Middle87.5%4,43820.8%OPEN →
Middle98.9%4,72325.1%OPEN →
Middle105.9%4,64922.4%OPEN →
Low39.9%1,27199.1%OPEN →
Low44.4%1,42097.2%OPEN →
—0.0%1,63682.1%OPEN →
Low25.9%2,15891.6%OPEN →
Low38.0%1,41098.4%OPEN →
Moderate58.9%1,03196.6%OPEN →
Low28.8%1,71190.4%OPEN →
Low22.1%2,02195.3%OPEN →
Low32.2%1,38293.7%OPEN →
Middle95.7%3,74944.4%OPEN →
Upper154.2%1,42331.9%OPEN →
Moderate54.0%2,21766.4%OPEN →
Low44.0%2,31068.8%OPEN →
Low36.5%1,73671.4%OPEN →
Upper120.5%2,50216.9%OPEN →
Upper161.3%3,89524.1%OPEN →
Upper140.7%5,72438.1%OPEN →
Upper127.9%6,53320.0%OPEN →
Upper235.9%3,97616.7%OPEN →
—0.0%——OPEN →
—0.0%00.0%OPEN →

Source: FFIEC census-tract file (income level, MSA, urban/rural) and HMDA tract attributes (population, minority share, housing units), latest loaded activity year. The whole county is listed — the table is filtered and paged in the browser over the complete set, never a server-side slice of it.

Housing & households

U.S. Census American Community Survey 2024 estimates — the demand side behind the lending figures above.

Population

926,331

Median household income

$64,435

Median home value

$230,700

Median gross rent

$1,101

per month

Owner-occupied

49.9%

of occupied units

Housing units

426,715

8.0% vacant

Poverty rate

17.2%

Unemployment

4.8%

Natural-hazard exposure

FEMA National Risk Index ratings for this county — expected annual loss, social vulnerability and community resilience, plus the individual perils rated Relatively High or above.

Overall risk

Relatively High

score 98.4

Social vulnerability

Relatively High

Community resilience

Very High

ELEVATED PERILS

Inland flooding Relatively High · Tornado Very High · Strong wind Relatively High · Heat wave Relatively High · Winter weather Very High

Federal disaster history

Months in which a FEMA disaster declaration was active in this county, from the declarations series.

Months with an active declaration

78

Declarations recorded

22

Incident types on record: Biological, Flood, Hurricane, Severe Storm, Snowstorm.

Everything we hold on Milwaukee County

12 data areas have rows for this county. Each one is one click away below; the 18 we checked and did not find at county grain are named at the end with the reason.

LOAN-LEVEL

The individual HMDA application and origination records behind every figure on this page, pre-filtered to Milwaukee County.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for Milwaukee County →Every reported application and origination in FIPS 55079, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in Milwaukee County by fiscal year — the veteran channel, which HMDA counts but does not separate from the rest of the government book at this grain.

VA Loan Guaranty geographic loan volume (va_geo_loan_volume, county_fips), folded to fiscal year

VA loans · FY2026

590

—

Purchase share

41.7%

246 loans

IRRRL refinances

230

Cash-out refinances

114

2026590—246230114
2025636—334168134
2024487—30383101
2023403—295999
2022——447162213
20211,494—426892176
20201,338—422753163
2019681—405124152
2018774—472121181
2017854—436249169
2016793—407247139
2015690—332254104

The most recent fiscal year is partial until VA closes it. This file carries no lender key, so VA volume cannot be attributed to a company.

BUILDING PERMITS

New residential units authorised in Milwaukee County — the supply-side leading indicator that runs ahead of purchase originations.

Census Building Permits Survey county series (census_building_permits, geo_id at geo_level 'county')

HOUSING SUPPLY · CENSUS BUILDING PERMITS

Milwaukee County building permits

New privately-owned housing units authorized by building permits — the supply-side leading indicator that runs ahead of housing starts and the purchase-origination pipeline. Single-family (SF, 1-unit) vs. multifamily (MF, 2+ units), by year.

Single-family · 2025

186

−1.6% vs 2024

Multifamily · 2025

860

+5.4% vs 2024

Total authorized · 2025

1,046

+4.1% vs 2024

Permit valuation · 2025

$227.4M

authorized construction value

Units authorized by year

Milwaukee County · total permitted units · hover for the single-family split

UNITS · SF IN TOOLTIP
01.3K2.5K3.8K5K19901992199419961998200020022004200620082010201220142016201820202022202420251,046 units

Source: U.S. Census Bureau Building Permits Survey (BPS), imputed totals (the published “units authorized” headline). SF = 1-unit; MF = 2+ units. Public no-login Census data. Attribution.

MIGRATION & WEALTH

IRS county-to-county migration flows for Milwaukee County, showing population movement and wealth transfer.

IRS county-to-county migration flows (irs_county_migration, self_geoid)

outflow2223Waukesha County, WI4,5537,631$401.4M
inflow2223Waukesha County, WI3,2924,625$243.9M
outflow2223Other flows - South, DS1,5002,623$99.2M
inflow2223Other flows - South, DS1,4142,340$75.1M
inflow2223Other flows - Midwest, DS1,1641,651$55.9M
outflow2223Racine County, WI1,1431,966$77.0M
inflow2223Racine County, WI9761,401$53.1M
outflow2223Other flows - Midwest, DS9731,566$60.2M
inflow2223Cook County, IL9691,387$65.5M
outflow2223Ozaukee County, WI8981,489$99.4M
outflow2223Cook County, IL8551,073$60.0M
outflow2223Washington County, WI7711,300$54.7M
inflow2223Dane County, WI768918$41.9M
outflow2223Dane County, WI728935$45.0M
inflow2223Ozaukee County, WI633866$41.3M
inflow2223Washington County, WI581823$33.9M
inflow2223Other flows - West, DS526805$32.8M
inflow2223Other flows - Northeast, DS488747$30.8M
outflow2223Other flows - West, DS467677$33.9M
outflow2223Maricopa County, AZ440783$26.0M
inflow2223Kenosha County, WI394517$20.0M
outflow2223Other flows - Northeast, DS364544$26.6M
inflow2223Lake County, IL319404$16.4M
outflow2223Kenosha County, WI304438$16.7M
inflow2223Maricopa County, AZ284487$16.3M
inflow2223Brown County, WI279357$12.3M
inflow2223Walworth County, WI260317$13.8M
outflow2223Sheboygan County, WI239363$11.6M
outflow2223Hennepin County, MN231297$15.9M
outflow2223Walworth County, WI218339$17.1M
outflow2223Brown County, WI217333$12.9M
inflow2223Sheboygan County, WI208283$10.0M
outflow2223Harris County, TX201370$11.5M
inflow2223Winnebago County, WI199247$8.2M
inflow2223Outagamie County, WI198256$9.9M
outflow2223Lake County, IL180278$15.5M
outflow2223Winnebago County, WI172282$9.1M
inflow2223Hennepin County, MN161208$11.0M
inflow2223DuPage County, IL156190$9.0M
outflow2223Dallas County, TX149240$7.1M
outflow2223Los Angeles County, CA148188$12.1M
outflow2223Clark County, NV146252$8.5M
inflow2223Dodge County, WI144184$11.6M
inflow2223Los Angeles County, CA141220$8.6M
outflow2223DuPage County, IL139190$10.5M
inflow2223Fond du Lac County, WI134177$7.0M
inflow2223Rock County, WI132168$5.8M
outflow2223Fond du Lac County, WI131207$6.0M
outflow2223Dodge County, WI131204$11.4M
outflow2223Tarrant County, TX130250$5.7M
outflow2223Jefferson County, WI128195$7.0M
inflow2223McHenry County, IL127154$5.7M
outflow2223Denver County, CO127144$12.0M
outflow2223Outagamie County, WI126186$5.7M
inflow2223Winnebago County, IL115153$5.0M
inflow2223Jefferson County, WI114153$5.9M
outflow2223Foreign - Overseas, FR112170$9.3M
outflow2223King County, WA105143$7.2M
inflow2223Harris County, TX104177$4.8M
inflow2223Clark County, NV100163$3.6M
outflow2223Rock County, WI99164$5.1M
inflow2223Kane County, IL91112$4.6M
outflow2223Travis County, TX91138$5.8M
inflow2223Marathon County, WI86122$3.9M
outflow2223Ramsey County, MN83125$4.1M
outflow2223Marathon County, WI83122$4.4M
outflow2223Winnebago County, IL82124$3.7M
inflow2223La Crosse County, WI8197$3.5M
outflow2223Foreign - Other flows, FR81154$2.0M
outflow2223New York County, NY7888$8.6M
inflow2223Dallas County, TX78145$3.5M
inflow2223Tarrant County, TX78183$3.3M
inflow2223San Diego County, CA76116$4.7M
outflow2223Davidson County, TN7485$5.7M
inflow2223Manitowoc County, WI7088$3.1M
outflow2223San Diego County, CA69103$7.0M
inflow2223Foreign - Puerto Rico, FR67169$1.7M
outflow2223Bexar County, TX67117$3.4M
outflow2223Hillsborough County, FL67105$5.3M
outflow2223Collin County, TX65127$6.6M
inflow2223Will County, IL6581$2.7M
inflow2223Ramsey County, MN6489$3.5M
outflow2223Manitowoc County, WI63105$3.1M
inflow2223Foreign - Other flows, FR63110$3.2M
inflow2223Marion County, IN6294$3.8M
outflow2223Orange County, FL59100$3.5M
outflow2223La Crosse County, WI5991$2.6M
inflow2223Portage County, WI5976$2.2M
outflow2223Lee County, FL5884$7.5M
inflow2223King County, WA5883$5.4M
inflow2223Orange County, FL5796$2.6M
inflow2223Denver County, CO5784$4.7M
outflow2223Mecklenburg County, NC5581$5.1M
outflow2223Fulton County, GA5481$2.7M
outflow2223Marion County, IN5498$3.6M
inflow2223Eau Claire County, WI5462$2.5M
inflow2223Travis County, TX5371$3.8M
inflow2223Davidson County, TN5376$3.5M
outflow2223Kings County, NY5156$2.6M
inflow2223Miami-Dade County, FL5071$3.7M
inflow2223Bexar County, TX5097$2.6M
inflow2223Fulton County, GA5070$3.2M
inflow2223Lake County, IN4988$2.3M
outflow2223Cobb County, GA4993$2.8M
outflow2223Polk County, FL4892$2.1M
outflow2223McHenry County, IL4762$2.4M
outflow2223Portage County, WI4766$2.3M
inflow2223Oakland County, MI4757$3.7M
outflow2223Franklin County, OH4673$3.5M
outflow2223Salt Lake County, UT4560$3.8M
outflow2223Marinette County, WI4569$3.0M
inflow2223Door County, WI4554$2.7M
outflow2223Denton County, TX4586$3.1M
inflow2223Cuyahoga County, OH4465$2.8M
outflow2223Miami-Dade County, FL4458$3.9M
inflow2223Calumet County, WI4459$1.9M
outflow2223Pinellas County, FL4364$3.0M
outflow2223Will County, IL4368$3.3M
inflow2223St. Louis County, MO4371$4.8M
inflow2223Salt Lake County, UT4363$2.3M
inflow2223Lee County, FL4362$3.4M
outflow2223Eau Claire County, WI4357$2.6M
outflow2223Gwinnett County, GA4276$4.7M
inflow2223Franklin County, OH4256$4.3M
inflow2223Hillsborough County, FL4276$1.5M
outflow2223Pinal County, AZ4288$2.0M
inflow2223Douglas County, NE4158$3.6M
outflow2223Philadelphia County, PA4155$3.9M
outflow2223Dakota County, MN4170$3.6M
inflow2223Orange County, CA4167$2.2M
outflow2223Shelby County, TN4069$3.2M
inflow2223St. Louis city, MO4062$3.6M
inflow2223Pinellas County, FL4060$2.0M
outflow2223Oakland County, MI4075$3.8M
outflow2223Broward County, FL3966$2.9M
outflow2223Wake County, NC3964$4.3M
outflow2223Pima County, AZ3961$3.2M
outflow2223Adams County, WI3958$2.6M
inflow2223Johnson County, IA3955$2.4M
inflow2223Mecklenburg County, NC3958$2.2M
outflow2223Santa Clara County, CA3957$5.1M
outflow2223Wayne County, MI3862$1.9M
inflow2223New York County, NY3849$6.3M
inflow2223Shelby County, TN3874$1.5M
inflow2223Columbia County, WI3841$1.1M
outflow2223DeKalb County, GA3865$1.6M
outflow2223District of Columbia, DC3843$3.1M
outflow2223Oneida County, WI3850$2.4M
inflow2223Kings County, NY3749$2.5M
inflow2223Philadelphia County, PA3767$3.1M
inflow2223District of Columbia, DC3749$3.4M
inflow2223Pima County, AZ3751$1.7M
inflow2223Broward County, FL3756$1.9M
inflow2223Wayne County, MI3756$2.8M
inflow2223Dakota County, MN3749$2.1M
inflow2223Wood County, WI3649$1.5M
outflow2223El Paso County, CO3554$2.1M
outflow2223Sarasota County, FL3548$7.1M
outflow2223Cuyahoga County, OH3556$2.8M
inflow2223Sacramento County, CA3556$1.7M
inflow2223Queens County, NY3557$2.2M
outflow2223San Francisco County, CA3541$3.6M
outflow2223Multnomah County, OR3546$2.1M
outflow2223Kane County, IL3449$2.4M
outflow2223Palm Beach County, FL3455$7.6M
outflow2223Waushara County, WI3445$1.7M
inflow2223Kent County, MI3443$1.9M
inflow2223Sauk County, WI3339$1.6M
outflow2223Adams County, CO3351$3.0M
outflow2223Hamilton County, OH3349$2.5M
inflow2223Polk County, IA3246$1.4M
outflow2223Jefferson County, CO3244$2.6M
inflow2223Multnomah County, OR3248$2.8M
inflow2223Arapahoe County, CO3144$1.8M
inflow2223Riverside County, CA3155$1.5M
inflow2223Pinal County, AZ3161$1.5M
inflow2223Marinette County, WI3136$1.2M
outflow2223Arapahoe County, CO3046$928K
outflow2223Suffolk County, MA3034$1.7M
outflow2223Sauk County, WI3050$1.8M
outflow2223Jefferson County, KY3056$1.7M
outflow2223Riverside County, CA2956$2.2M
outflow2223Montgomery County, TX2955$2.2M
outflow2223Door County, WI2947$4.1M
inflow2223Hamilton County, OH2942$2.3M
inflow2223Washington County, MN2946$1.4M
outflow2223Alameda County, CA2937$2.3M
outflow2223Middlesex County, MA2943$2.5M
inflow2223Alameda County, CA2849$2.6M
inflow2223Allen County, IN2858$1.6M
inflow2223Waupaca County, WI2834$1.2M
outflow2223Wood County, WI2860$1.4M
outflow2223Shawano County, WI2840$1.3M
outflow2223Calumet County, WI2845$1.5M
outflow2223Kent County, MI2836$1.6M
outflow2223Orange County, CA2850$3.3M
outflow2223Duval County, FL2751$1.6M
inflow2223DeKalb County, GA2744$1.3M
inflow2223Santa Clara County, CA2738$2.4M
inflow2223Suffolk County, MA2739$2.9M

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for Milwaukee County.

FHFA UAD aggregate statistics (uad_aggregate_county, geoid) and appraisal-level public use file (uad_puf, county_fips)

2023PurchaseNo CharacteristicAll Appraisals4,849.0
2023PurchaseNo CharacteristicAll Appraisals0.3
2023RefinanceNo CharacteristicAll Appraisals1,347.0
2023PurchaseNo CharacteristicAll Appraisals1.0
2023BothNo CharacteristicAll Appraisals6,196.0
2023PurchaseNo CharacteristicAll Appraisals0.6
2023PurchaseNo CharacteristicAll Appraisals1.0
2023RefinanceNo CharacteristicAll Appraisals235,000.0
2023BothNo CharacteristicAll Appraisals252,000.0
2023PurchaseNo CharacteristicAll Appraisals257,000.0
2023PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals1.0
2022BothNo CharacteristicAll Appraisals240,000.0
2022PurchaseNo CharacteristicAll Appraisals0.3
2022PurchaseNo CharacteristicAll Appraisals245,000.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022RefinanceNo CharacteristicAll Appraisals2,493.0
2022PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals0.6
2022RefinanceNo CharacteristicAll Appraisals225,000.0
2022BothNo CharacteristicAll Appraisals8,818.0
2022PurchaseNo CharacteristicAll Appraisals6,325.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021RefinanceNo CharacteristicAll Appraisals234,000.0
2021BothNo CharacteristicAll Appraisals13,832.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021PurchaseNo CharacteristicAll Appraisals7,582.0
2021PurchaseNo CharacteristicAll Appraisals0.3
2021RefinanceNo CharacteristicAll Appraisals6,250.0
2021PurchaseNo CharacteristicAll Appraisals0.1
2021BothNo CharacteristicAll Appraisals230,000.0
2021PurchaseNo CharacteristicAll Appraisals0.6
2021PurchaseNo CharacteristicAll Appraisals225,000.0
2020PurchaseNo CharacteristicAll Appraisals0.1
2020PurchaseNo CharacteristicAll Appraisals1.0
2020BothNo CharacteristicAll Appraisals14,105.0
2020PurchaseNo CharacteristicAll Appraisals7,258.0
2020PurchaseNo CharacteristicAll Appraisals0.7
2020BothNo CharacteristicAll Appraisals215,000.0
2020RefinanceNo CharacteristicAll Appraisals237,000.0
2020RefinanceNo CharacteristicAll Appraisals6,847.0
2020PurchaseNo CharacteristicAll Appraisals200,000.0
2020PurchaseNo CharacteristicAll Appraisals1.0
2020PurchaseNo CharacteristicAll Appraisals0.3
2019PurchaseNo CharacteristicAll Appraisals0.1
2019PurchaseNo CharacteristicAll Appraisals1.0
2019BothNo CharacteristicAll Appraisals198,000.0
2019PurchaseNo CharacteristicAll Appraisals6,713.0
2019PurchaseNo CharacteristicAll Appraisals0.2
2019PurchaseNo CharacteristicAll Appraisals1.0
2019RefinanceNo CharacteristicAll Appraisals220,000.0
2019BothNo CharacteristicAll Appraisals10,728.0
2019RefinanceNo CharacteristicAll Appraisals4,015.0
2019PurchaseNo CharacteristicAll Appraisals186,000.0
2019PurchaseNo CharacteristicAll Appraisals0.7
2018RefinanceNo CharacteristicAll Appraisals190,000.0
2018BothNo CharacteristicAll Appraisals8,756.0
2018PurchaseNo CharacteristicAll Appraisals6,390.0
2018RefinanceNo CharacteristicAll Appraisals2,366.0
2018BothNo CharacteristicAll Appraisals180,000.0
2018PurchaseNo CharacteristicAll Appraisals178,000.0
2018PurchaseNo CharacteristicAll Appraisals0.7
2018PurchaseNo CharacteristicAll Appraisals0.1
2018PurchaseNo CharacteristicAll Appraisals0.2
2018PurchaseNo CharacteristicAll Appraisals1.0
2018PurchaseNo CharacteristicAll Appraisals1.0
2017RefinanceNo CharacteristicAll Appraisals190,000.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals0.2
2017PurchaseNo CharacteristicAll Appraisals0.1
2017BothNo CharacteristicAll Appraisals8,788.0
2017PurchaseNo CharacteristicAll Appraisals5,834.0
2017PurchaseNo CharacteristicAll Appraisals175,000.0
2017RefinanceNo CharacteristicAll Appraisals2,954.0
2017PurchaseNo CharacteristicAll Appraisals0.8
2017BothNo CharacteristicAll Appraisals180,000.0
2016PurchaseNo CharacteristicAll Appraisals5,385.0
2016RefinanceNo CharacteristicAll Appraisals215,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals170,000.0
2016PurchaseNo CharacteristicAll Appraisals0.7
2016PurchaseNo CharacteristicAll Appraisals0.1
2016BothNo CharacteristicAll Appraisals190,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals0.2
2016BothNo CharacteristicAll Appraisals10,053.0
2016RefinanceNo CharacteristicAll Appraisals4,668.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2015PurchaseNo CharacteristicAll Appraisals168,000.0
2015PurchaseNo CharacteristicAll Appraisals0.2
2015RefinanceNo CharacteristicAll Appraisals200,500.0
2015BothNo CharacteristicAll Appraisals8,446.0
2015RefinanceNo CharacteristicAll Appraisals3,662.0
2015PurchaseNo CharacteristicAll Appraisals0.0
2015PurchaseNo CharacteristicAll Appraisals0.8
2015PurchaseNo CharacteristicAll Appraisals4,784.0
2015BothNo CharacteristicAll Appraisals181,000.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2014BothNo CharacteristicAll Appraisals171,000.0

ECONOMY & INCOME

Local economy indicators — BLS unemployment rates and BEA personal income for Milwaukee County.

BLS Local Area Unemployment Statistics (bls_laus_county_month, geoid) and BEA personal income (bea_county_income, geo_fips)

BLS Local Area Unemployment

2026-05452,360435,74516,6153.7%
2026-04452,680433,63019,0504.2%
2026-03455,790433,97821,8124.8%
2026-02455,457432,49122,9665.0%
2026-01452,009431,84820,1614.5%
2025-12453,677437,54116,1363.6%
2025-11456,509439,75416,7553.7%
2025-09450,147434,37615,7713.5%
2025-08457,440438,34419,0964.2%
2025-07457,603437,96419,6394.3%
2025-06457,675438,01419,6614.3%
2025-05451,664434,67316,9913.8%
2025-04453,368435,45417,9144.0%
2025-03455,690435,51820,1724.4%
2025-02455,592435,41120,1814.4%
2025-01455,746437,20018,5464.1%
2024-12458,037442,39215,6453.4%
2024-11461,548445,25516,2933.5%
2024-10461,434445,96015,4743.4%
2024-09460,326445,14215,1843.3%
2024-08464,861446,10018,7614.0%
2024-07466,412446,64619,7664.2%
2024-06462,499442,66419,8354.3%
2024-05455,881439,60416,2773.6%
2024-04456,644439,83216,8123.7%
2024-03457,575438,77218,8034.1%
2024-02456,534438,05518,4794.0%
2024-01455,204439,50615,6983.4%
2023-12459,324445,36713,9573.0%
2023-11464,353449,89814,4553.1%
2023-10462,960448,15014,8103.2%
2023-09461,257445,75415,5033.4%
2023-08467,517448,63818,8794.0%
2023-07466,316448,28718,0293.9%
2023-06462,929444,20018,7294.0%
2023-05456,249440,21816,0313.5%
2023-04453,067438,69514,3723.2%
2023-03455,184439,40615,7783.5%
2023-02453,039436,74316,2963.6%
2023-01451,038436,67014,3683.2%
2022-12454,798443,31511,4832.5%
2022-11454,762442,16912,5932.8%
2022-10456,641443,42013,2212.9%
2022-09457,775443,88413,8913.0%
2022-08463,714446,05817,6563.8%
2022-07463,498445,32318,1753.9%
2022-06460,159441,81818,3414.0%
2022-05454,184438,75115,4333.4%
2022-04452,137435,76216,3753.6%
2022-03456,195438,04318,1524.0%
2022-02456,112436,48419,6284.3%
2022-01454,297435,64518,6524.1%
2021-12457,579442,70914,8703.2%
2021-11459,984444,77515,2093.3%
2021-10460,547443,58016,9673.7%
2021-09464,330444,15420,1764.3%
2021-08469,719444,57625,1435.4%
2021-07474,686446,41928,2676.0%
2021-06471,784440,76231,0226.6%
2021-05462,152436,17225,9805.6%
2021-04462,611433,54629,0656.3%
2021-03461,029431,28629,7436.5%
2021-02462,249431,77230,4776.6%
2021-01459,110429,36129,7496.5%
2020-12469,229439,83829,3916.3%
2020-11472,389442,09830,2916.4%
2020-10475,360442,54232,8186.9%
2020-09476,434436,84439,5908.3%
2020-08481,244438,63842,6068.9%
2020-07483,940429,99053,95011.1%
2020-06480,241422,81657,42512.0%
2020-05467,341406,55260,78913.0%
2020-04463,355391,99771,35815.4%
2020-03462,476442,81919,6574.3%
2020-02467,773450,30817,4653.7%
2020-01464,533447,03117,5023.8%
2019-12466,147451,24214,9053.2%
2019-11470,518454,80615,7123.3%
2019-10470,476454,90115,5753.3%
2019-09471,065454,05617,0093.6%
2019-08476,160456,03620,1244.2%
2019-07479,155458,06321,0924.4%
2019-06475,160454,19820,9624.4%
2019-05466,816449,95916,8573.6%
2019-04466,092449,81616,2763.5%
2019-03470,475451,88718,5884.0%
2019-02471,233453,13118,1023.8%
2019-01465,390447,28418,1063.9%
2018-12468,047453,49614,5513.1%
2018-11470,194455,67314,5213.1%
2018-10470,243455,86114,3823.1%
2018-09471,279456,17015,1093.2%
2018-08477,055458,57018,4853.9%
2018-07480,424460,56019,8644.1%
2018-06478,378457,14921,2294.4%
2018-05470,739454,87615,8633.4%
2018-04471,580455,46716,1133.4%
2018-03475,710457,21418,4963.9%
2018-02476,958458,46418,4943.9%
2018-01470,920454,05616,8643.6%

BEA Personal Income

2024$57.49B924,740$62K
2023$54.89B921,860$60K
2022$52.82B921,977$57K
2021$51.97B924,469$56K
2020$47.84B938,609$51K
2019$45.08B940,901$48K
2018$44.06B942,459$47K
2017$41.91B946,054$44K
2016$40.67B950,992$43K
2015$40.68B955,139$43K
2014$39.27B955,832$41K
2013$38.15B955,411$40K
2012$38.65B953,185$41K
2011$37.13B950,551$39K
2010$35.59B948,125$38K
2009$34.92B942,668$37K
2008$35.00B934,752$37K
2007$33.97B931,453$36K
2006$32.63B930,263$35K
2005$30.76B932,540$33K
2004$29.81B936,914$32K
2003$29.33B939,513$31K
2002$29.07B939,854$31K
2001$28.79B939,305$31K
2000$27.39B939,769$29K
1999$26.16B940,529$28K
1998$25.51B942,430$27K
1997$24.09B945,453$25K
1996$23.05B950,969$24K
1995$22.28B954,978$23K
1994$21.47B959,029$22K
1993$20.74B964,231$22K
1992$20.15B966,433$21K
1991——$20K

NFIP FLOOD CLAIMS

FEMA National Flood Insurance Program (NFIP) realised flood loss claims in Milwaukee County.

FEMA NFIP redacted claims (nfip_claim, county_code)

2026-06-11$0——Yes
2026-04-21$2K$2K$0Yes
2026-04-20$0$0$0No
2026-04-15$2K$2K$0Yes
2026-04-15$37K$37K$0No
2026-04-15$3K$3K$0No
2026-04-14$52K$52K$0Yes
2026-04-14$0——Yes
2026-04-14$22K$22K$0Yes
2026-04-14$0$0$0No
2025-08-12$10K$9K$751.46Yes
2025-08-11$34K$34K$0Yes
2025-08-11$12K$12K$0Yes
2025-08-10$32K$32K$0Yes
2025-08-10$22K$22K$0Yes
2025-08-10$16K$15K$240.78Yes
2025-08-10$21K$20K$2KYes
2025-08-10$168K$168K$0Yes
2025-08-10$17K$17K$0Yes
2025-08-10$83K$51K$32KNo
2025-08-10$16K$16K$0Yes
2025-08-10$21K$20K$780.19Yes
2025-08-10$19K$18K$532.12Yes
2025-08-10$8K$8K$0Yes
2025-08-10$21K$20K$1KYes
2025-08-10$18K$18K$48.34Yes
2025-08-10$29K$29K$0Yes
2025-08-10$9K$8K$1KYes
2025-08-10$0$0$0Yes
2025-08-10$5K$5K$0No
2025-08-10$10K$8K$2KYes
2025-08-10$36K$36K$0Yes
2025-08-10$7K$6K$496.69Yes
2025-08-10$48K$46K$2KYes
2025-08-10$13K$13K$0Yes
2025-08-10$9K$9K$0Yes
2025-08-10$10K$10K$0Yes
2025-08-10$8K$8K$0Yes
2025-08-10$51K$51K$0Yes
2025-08-10$8K$8K$0Yes
2025-08-10$14K$14K$0Yes
2025-08-10$500K$500K$0No
2025-08-10$12K$11K$2KYes
2025-08-10$9K$9K$0No
2025-08-10$18K$18K$0Yes
2025-08-10$9K$9K$0Yes
2025-08-10$8K$7K$1KYes
2025-08-10$0——Yes
2025-08-10$0$0$0Yes
2025-08-10$8K$8K$0No
2025-08-10$10K$10K$0Yes
2025-08-10$3K$3K$0Yes
2025-08-10$3K$3K$0Yes
2025-08-10$34K$34K$0Yes
2025-08-10$55K$55K$0Yes
2025-08-10$27K$27K$0Yes
2025-08-10$9K$8K$946.83Yes
2025-08-10$0$0$0Yes
2025-08-10$8K$8K$0Yes
2025-08-10$12K$12K$0No
2025-08-10$0——Yes
2025-08-10$9K$9K$0Yes
2025-08-10$21K$21K$0Yes
2025-08-10$32K$26K$6KYes
2025-08-10$320K$320K$0No
2025-08-10$45K$45K$0Yes
2025-08-10$0——Yes
2025-08-10$32K$32K$0Yes
2025-08-10$2K$2K$0Yes
2025-08-10$56K$56K$0Yes
2025-08-10$26K$26K$0Yes
2025-08-10$11K$11K$515.51Yes
2025-08-10$0——Yes
2025-08-10$0$0$0Yes
2025-08-10$54K$54K$0Yes
2025-08-10$21K$16K$5KYes
2025-08-10$4K$4K$0Yes
2025-08-10$7K$7K$0Yes
2025-08-10$184K$183K$1KYes
2025-08-10$19K$15K$4KYes
2025-08-10$13K$13K$0Yes
2025-08-10$0——Yes
2025-08-10$0——Yes
2025-08-10$5K$5K$0Yes
2025-08-10$28K$28K$0No
2025-08-10$4K$4K$0Yes
2025-08-10$0$0$0No
2025-08-10$11K$11K$0Yes
2025-08-10$21K$21K$0No
2025-08-10$189K$189K$0No
2025-08-10$20K$20K$0Yes
2025-08-10$8K$8K$0Yes
2025-08-10$15K$14K$1KYes
2025-08-10$15K$15K$0Yes
2025-08-10$10K$10K$0Yes
2025-08-10$136K$125K$11KYes
2025-08-10$15K$14K$780.25Yes
2025-08-10$986K$486K$500KNo
2025-08-10$13K$13K$0Yes
2025-08-10$42K$42K$0Yes

ALSO CHECKED

18 more data areas were checked for Milwaukee County and did not earn a tab. A missing tab and an unasked question look the same on screen, so each one is named with the reason it is missing.

  • WRONG GRAIN
    FHA

    FHA Neighborhood Watch DOES publish county rows, but keys them on a free-text county NAME (“CHITTENDEN|VT”), not a FIPS code, and the single-family endorsement snapshot's property_county is likewise free text. Joining either to a county FIPS by name would attribute one county's delinquency to another wherever a name repeats, so FHA is a state-grain tab only until a curated name→FIPS crosswalk exists

  • WRONG GRAIN
    Fannie / Freddie

    the FHFA public-use database publishes single-family acquisitions at STATE and CENSUS-TRACT grain; no county rollup is published or loaded, and rolling tracts up to counties would double-count the tracts that straddle a county line

  • WRONG GRAIN
    GSE credit-risk transfer

    CAS and STACR loan-level disclosures publish PROPERTY STATE and a 3-digit zip; neither carries a county code, so credit-risk-transfer collateral cannot be attributed to a county

  • WRONG GRAIN
    Ginnie Mae

    Ginnie Mae's loan-level disclosure publishes PROPERTY STATE and nothing finer — there is no county, ZIP or tract field in the file, so agency-pool collateral has no county grain at all. The same is true of the UMBS pool file (fhfa_mbs_pool), which carries only CA/NY/FL/TX/PR concentration percentages

  • WRONG GRAIN
    Housing finance agency

    a housing finance agency is a STATE-chartered body — county is not a grain it has. Its programmes reach counties, but the agency itself is one row per state: hfa_agency is keyed on state_code and carries no county column, and there is no county-level agency underneath it to aggregate from

  • WRONG GRAIN
    CUSO network

    the NCUA CUSO Registry publishes a CUSO's city and STATE and no county at all (cuso_registry, migration 0195). A county FIPS does exist on the member-credit-union side (cuso_credit_union_link.cu_county_fips), but it is the CREDIT UNION'S CHARTER ADDRESS — where the institution is registered, not where the mortgage service it buys is delivered — so a county tab built on it would pin a statewide, often multi-state, service relationship onto the one county a charter document happens to name

  • WRONG GRAIN
    Subservicing map

    the same absence, one grain finer: subservicing_relationships holds no property or collateral column at all, so there is nothing to aggregate to a county. Where a client is a state HFA, the state housing finance agency area on this hub carries that agency and its named master servicer at its own state grain

  • WRONG GRAIN
    Co-issue MSR

    the same absence, and worse at county grain: Ginnie's loan-level disclosure publishes property STATE and nothing finer — no county, ZIP or tract field exists in the file — so even the collateral split that is rejected above at state grain is not available here at all

  • WRONG GRAIN
    MSR transfer graph

    the same absence at a finer grain, with no additional route to one: ginnie_servicing_transfers has no county column and the Ginnie loan-level disclosure it would have to be joined to publishes property state and nothing finer — no county, ZIP or tract field exists in either file

  • WRONG GRAIN
    Builder & realtor JV

    the same absence, one grain finer: the affiliation corpus has no geographic column at all, so nothing can be aggregated to a county. The affiliate lender's actual county-level originations are on the HMDA area of the county hub, keyed on the lender rather than on its parent

  • WRONG GRAIN
    Non-QM deal calendar

    the same structural gap, one grain finer: a 144A non-QM deal publishes no asset-level file at all, so there is no loan, no property and therefore no county to attribute anything to. This is the one absence on this hub that no future load can close

  • WRONG GRAIN
    Agency-MBS demand

    the same absence, and Ginnie's disclosure has no county field at any grain, so even the collateral allocation that is rejected above at state grain cannot be computed here

  • WRONG GRAIN
    Complaints-rate stack

    the same broken denominator, plus a numerator that does not reach county either: the CFPB publishes a complaint's state and a partially redacted ZIP and no county, so neither half of this ratio exists at county grain

  • WRONG GRAIN
    NMLS licensing

    NMLS licences are issued by a STATE regulator and the industry report is published by state agency and quarter; there is no county in the licensing system to aggregate to

  • WRONG GRAIN
    CFPB complaints

    the CFPB publishes a complaint's STATE and a partially redacted ZIP; it publishes no county, and deriving one from a redacted ZIP would put complaints in the wrong county wherever a ZIP straddles a county line

  • WRONG GRAIN
    State enforcement

    enforcement orders are issued by a STATE regulator against a licensee; they carry no property or county

  • WRONG GRAIN
    WARN notices

    a WARN notice names an employer, a CITY and a region — no county code — and matching city to county by name is ambiguous in most states

  • WRONG GRAIN
    Mortgage employment

    the QCEW extract loaded here holds STATE and METRO area types only — the county-level QCEW file is a separate, far larger download that is not loaded, so county mortgage employment cannot be shown honestly

Several of the areas above are published only at state grain. They are all on the WI state hub, which carries the same registry at the grain those sources actually have.

Go deeper

EVERY HMDA RECORD IN MILWAUKEE COUNTY →Opens the loan explorer already filtered to county FIPS 55079.

See the Wisconsin state market profile for the statewide picture, the Wisconsin state hub for every dataset we hold on the state in one place, or the national lender leaderboard for who is largest across every market.

Sources: HMDA public loan-level disclosure (CFPB/FFIEC) aggregated to county-year; U.S. Census Bureau American Community Survey; FEMA National Risk Index and disaster declarations. Figures are as loaded — see data attribution.

Fair-lending context: denial rates and demographic figures shown here are descriptive statistics derived from public HMDA and U.S. Census data. HMDA does not contain the credit, income, or underwriting variables that explain most lending outcomes, so a difference between lenders or areas is a statistical observation about published data — not evidence of, and not a determination of, discrimination or redlining by any institution.